Python in Lightning Detection Network Data Analysis
Abstract
This paper describes usage of several third-party Python (programming language) libraries, which could be seen as very useful for easy and efficient manipulation and analysis of data produced by the lightning detection networks (LDNs). Python is a high level interpreted language with extensive library of third-party packages and APIs. Several of its libraries, popular within the data science community, could be seen as very useful for efficient analysis of data produced by LDNs, such as: geographical and probability density distribution of lightning strikes, lightning flash-cell identification, its movement tracking, and nowcasting.
Type
Publication
Proceedings of the 7th International Lightning Meteorology Conference
